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Caihua Shan
Caihua Shan
Microsoft Research Asia
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Truth inference in crowdsourcing: Is the problem solved?
Y Zheng, G Li, Y Li, C Shan, R Cheng
Proceedings of the VLDB Endowment 10 (5), 541-552, 2017
4792017
Finding global homophily in graph neural networks when meeting heterophily
X Li, R Zhu, Y Cheng, C Shan, S Luo, D Li, W Qian
International Conference on Machine Learning, 13242-13256, 2022
1242022
How powerful is graph convolution for recommendation?
Y Shen, Y Wu, Y Zhang, C Shan, J Zhang, BK Letaief, D Li
Proceedings of the 30th ACM international conference on information …, 2021
712021
Reinforcement learning enhanced explainer for graph neural networks
C Shan, Y Shen, Y Zhang, X Li, D Li
Advances in Neural Information Processing Systems 34, 22523-22533, 2021
502021
CLARE: A semi-supervised community detection algorithm
X Wu, Y Xiong, Y Zhang, Y Jiao, C Shan, Y Sun, Y Zhu, PS Yu
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
242022
CoPE: modeling continuous propagation and evolution on interaction graph
Y Zhang, Y Xiong, D Li, C Shan, K Ren, Y Zhu
Proceedings of the 30th ACM International Conference on Information …, 2021
222021
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
C Shan, N Mamoulis, R Cheng, G Li, X Li, Y Qian
2020 IEEE 36th International Conference on Data Engineering (ICDE), 49-60, 2020
222020
On analyzing graphs with motif-paths
X Li, R Cheng, KCC Chang, C Shan, C Ma, H Cao
Proceedings of the VLDB Endowment 14 (6), 2021
182021
Seegera: Self-supervised semi-implicit graph variational auto-encoders with masking
X Li, T Ye, C Shan, D Li, M Gao
Proceedings of the ACM web conference 2023, 143-153, 2023
162023
Recognizing vector graphics without rasterization
X Jiang, L Liu, C Shan, Y Shen, X Dong, D Li
Advances in Neural Information Processing Systems 34, 24569-24580, 2021
142021
T-crowd: Effective crowdsourcing for tabular data
C Shan, N Mamoulis, G Li, R Cheng, Z Huang, Y Zheng
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1316-1319, 2018
112018
A Crowdsourcing Framework for Collecting Tabular Data
C Shan, N Mamoulis, G Li, R Cheng, Z Huang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2019
102019
CAST: a correlation-based adaptive spectral clustering algorithm on multi-scale data
X Li, B Kao, C Shan, D Yin, M Ester
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
92020
Learning decomposed spatial relations for multi-variate time-series modeling
Y Fang, K Ren, C Shan, Y Shen, Y Li, W Zhang, Y Yu, D Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7530-7538, 2023
82023
COCLEP: Contrastive Learning-based Semi-Supervised Community Search
L Li, S Luo, Y Zhao, C Shan, Z Wang, L Qin
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2483-2495, 2023
62023
Explaining temporal graph models through an explorer-navigator framework
W Xia, M Lai, C Shan, Y Zhang, X Dai, X Li, D Li
The Eleventh International Conference on Learning Representations, 2022
62022
Motif paths: A new approach for analyzing higher-order semantics between graph nodes
X Li, TN Chan, R Cheng, C Shan, C Ma, K Chang
HKU Technique Reports 3, 4, 2019
52019
Rendnet: Unified 2d/3d recognizer with latent space rendering
R Shi, X Jiang, C Shan, Y Wang, D Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Cmmd: Cross-metric multi-dimensional root cause analysis
S Yan, C Shan, W Yang, B Xu, D Li, L Qiu, J Tong, Q Zhang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
32022
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
D Mo, F Chen, S Luo, C Shan
Proceedings of the ACM on Management of Data 1 (3), 1-25, 2023
22023
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Articles 1–20